{"title":"Configuration code generation and optimizations for heterogeneous reconfigurable DSPs","authors":"Suet-Fei Li, M. Wan, J. Rabaey","doi":"10.1109/SIPS.1999.822322","DOIUrl":null,"url":null,"abstract":"In this paper we describe a code generation and optimization process for reconfigurable architectures targeting digital signal processing and wireless communication applications. The ability to generate efficient and compact code is essential for the success of reconfigurable architectures. Otherwise, the overhead of reconfiguring could easily become the system bottleneck. Our code generation process includes the evaluation a set of tradeoffs in system design, software engineering as well as usage of a set of local and global optimization techniques. By doing so we are able to achieve results of significantly lower overhead.","PeriodicalId":275030,"journal":{"name":"1999 IEEE Workshop on Signal Processing Systems. SiPS 99. Design and Implementation (Cat. No.99TH8461)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 IEEE Workshop on Signal Processing Systems. SiPS 99. Design and Implementation (Cat. No.99TH8461)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.1999.822322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In this paper we describe a code generation and optimization process for reconfigurable architectures targeting digital signal processing and wireless communication applications. The ability to generate efficient and compact code is essential for the success of reconfigurable architectures. Otherwise, the overhead of reconfiguring could easily become the system bottleneck. Our code generation process includes the evaluation a set of tradeoffs in system design, software engineering as well as usage of a set of local and global optimization techniques. By doing so we are able to achieve results of significantly lower overhead.